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    AuthorsShaji KumarDepartment of Hematology, Mayo Clinic Rochester, Rochester, MNShaji Kumar, Zihan Wei, Michael A. Thompson, Bradley Snyder, Matthias Weiss, Lynne I. Wagner, Lale Kostakoglu, S. Vincent RajkumarOrganizationsDepartment of Hematology, Mayo Clinic Rochester, Rochester, MN, Dana-Farber Cancer Institute, Boston, MA, Aurora Cancer Care, Advocate Aurora Health, Milwaukee, WI, Brown…

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  • Mashup Score: 1

    AuthorsMohamed HendawiAurora Cancer Care, Advocate Aurora Health, Milwaukee, WIMohamed Hendawi, Luke Peterson, Eyob ale Tadesse, Frank M. Wolf, Thomas D. Brown, Michael A. ThompsonOrganizationsAurora Cancer Care, Advocate Aurora Health, Milwaukee, WI, Syapse INC, San Francisco, CA, Syapse, San Francisco, CAAbstract DisclosuresResearch FundingNo funding receivedNone Background: Patients (pts)…

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    AuthorsMohamed HendawiAurora Cancer Care, Advocate Aurora Health, Milwaukee, WIMohamed Hendawi, Luke Peterson, Eyob ale Tadesse, Frank M. Wolf, Thomas D. Brown, Michael A. ThompsonOrganizationsAurora Cancer Care, Advocate Aurora Health, Milwaukee, WI, Syapse INC, San Francisco, CA, Syapse, San Francisco, CAAbstract DisclosuresResearch FundingNo funding receivedNone Background: Patients (pts)…

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  • Mashup Score: 1

    e13588 Background: Pre-screening for clinical trials is becoming more challenging as inclusion/exclusion criteria becomes increasingly complex. Oncology precision medicine provides an exciting opportunity to simplify this process and quickly match patients with trials by leveraging machine learning technology. The Tempus TIME Trial site network matches patients to relevant, open, and recruiting…

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  • Mashup Score: 1

    e13588 Background: Pre-screening for clinical trials is becoming more challenging as inclusion/exclusion criteria becomes increasingly complex. Oncology precision medicine provides an exciting opportunity to simplify this process and quickly match patients with trials by leveraging machine learning technology. The Tempus TIME Trial site network matches patients to relevant, open, and recruiting…

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  • Mashup Score: 0

    e13588 Background: Pre-screening for clinical trials is becoming more challenging as inclusion/exclusion criteria becomes increasingly complex. Oncology precision medicine provides an exciting opportunity to simplify this process and quickly match patients with trials by leveraging machine learning technology. The Tempus TIME Trial site network matches patients to relevant, open, and recruiting…

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  • Mashup Score: 0

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  • Mashup Score: 1

    e13588 Background: Pre-screening for clinical trials is becoming more challenging as inclusion/exclusion criteria becomes increasingly complex. Oncology precision medicine provides an exciting opportunity to simplify this process and quickly match patients with trials by leveraging machine learning technology. The Tempus TIME Trial site network matches patients to relevant, open, and recruiting…

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  • Mashup Score: 1

    e13588 Background: Pre-screening for clinical trials is becoming more challenging as inclusion/exclusion criteria becomes increasingly complex. Oncology precision medicine provides an exciting opportunity to simplify this process and quickly match patients with trials by leveraging machine learning technology. The Tempus TIME Trial site network matches patients to relevant, open, and recruiting…

    Tweet Tweets with this article
    • Leveraging machine learning technology to efficiently identify and match patients for precision oncology clinical trials [May 28, 2021] Sachse et al. #ASCO21 Abstract e13588 https://t.co/EpwreOUUBG #PrecisionMedicine #ClinicalTrials #ctsm https://t.co/YoFr0fKPGi

  • Mashup Score: 1

    e13588 Background: Pre-screening for clinical trials is becoming more challenging as inclusion/exclusion criteria becomes increasingly complex. Oncology precision medicine provides an exciting opportunity to simplify this process and quickly match patients with trials by leveraging machine learning technology. The Tempus TIME Trial site network matches patients to relevant, open, and recruiting…

    Tweet Tweets with this article
    • Leveraging machine learning technology to efficiently identify and match patients for precision oncology clinical trials [May 28, 2021] Sachse et al. #ASCO21 Abstract e13588 https://t.co/EpwreOUmM8 #PrecisionMedicine #ClinicalTrials #ctsm https://t.co/OO4m10kOqY